I'm a Software Engineer specialising in Machine Learning & Data Science.
I like building things that actually work — from trained classifiers to full-stack apps shipped under hackathon pressure.
You know what, I just like building things. I am not saying they don't work, I am saying that I didn't like that AI gibberish sentence.
🥇 Coding Night 2026 — trained a Random Forest classifier predicting restaurant meal orders. Full data pipeline: Supabase schema design, mock data, feature engineering, model training. Led team planning and presented to jury.
Python · Scikit-learn · Pandas · Supabase · TypeScript
🥇 AIRescue Hackathon Katowice — web app for emergency resource management, built fast and shipped under competition pressure.
Zero · Tailwind CSS
🏅 Coding Night V — mental health app WydrzyjSie in Unity: mood journal, gratitude prompts, relaxation minigames, panic attack support. First time in Unity. Won a special award — jury recognised the product vision and AI roadmap I presented.
Unity · C#
💼 Internship @ All for One Poland (SAP/ERP) — built C# components, contributed to an AI-powered chatbot with Semantic Kernel, and got recognised by senior management for testing quality.
ML / Data Scikit-learn · PyTorch · Pandas · NumPy · Seaborn · Matplotlib · Tableau
AI Tools Azure AI · Semantic Kernel · Groq API · Jupyter Notebook
Languages Python · C++ · C# · SQL · Java · JavaScript · PHP
Backend REST APIs · .NET · Supabase
Frontend React · Tailwind CSS
Tools Git · VS Code · Visual Studio · Arduino IDE
| Repo | What it is |
|---|---|
| Coding_Night_2026 | 🥇 Hackathon winner — meal prediction ML model + full-stack app |
| llm-on-arduino | 🤖 LLM API on Arduino — MicroPython + C++ + Groq + LCD display |
| jupyter-study | ML learning path: Titanic → Logistic Regression → CNN |
- Going deeper into ML — feature selection, model evaluation, real datasets
- Mentored at SpaceShield Hack 2026 — space & defence hackathon in Stalowa Wola May
- Looking for a ML / Data role
